README.md

---
license: mit
tags:
- image-classification
- plant-disease
- tensorflow
- keras
library_name: tensorflow
---

# Leaf Disease Detection Model

This model can detect diseases in plant leaves using EfficientNetB3 architecture.

## Usage

```python
from huggingface_hub import hf_hub_download
import tensorflow as tf
import json

# Download model and class indices
model_path = hf_hub_download(repo_id="Rvish-glitch/leaf-disease-detection", filename="final_model.h5")
indices_path = hf_hub_download(repo_id="Rvish-glitch/leaf-disease-detection", filename="class_indices.json")

# Load model
model = tf.keras.models.load_model(model_path)

# Load class indices
with open(indices_path, 'r') as f:
    class_indices = json.load(f)
```

## Classes

The model can detect various plant diseases across different crops including tomato, potato, apple, and corn.